Experimenting with remote sensing and interactive spatial storytelling.
This project investigates how sensor-driven environmental data can be translated into immersive, explorable worlds. By integrating LiDAR, point cloud segmentation, and procedural terrain generation, the research examines how XR can be used for data interpretation, education, and scientific visualization. The work focuses on rendering high-resolution landscape scans in real-time while maintaining fidelity and accessibility across multiple platforms.